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Data Intelligence Solutions

Frrole Data Intelligence Solutions

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Data Intelligence Solutions

THE PAIN WE HAVE SOLVED

How is the demand for this segment

evolving?

Can we get results with contextualized

keyword search?

Can we enhance an applicant’s profile to provide recruiters with holistic information?

How can we combine social insights with enterprise data to drive marketing decisions?

How can we identify harassment against women online & enable

appropriate action?

How can I find out the localities where my customers are unhappy with my

delivery?

ARE YOU ASKING THE SAME QUESTIONS?

Which of my products are not in 3 most liked players in

its segment?

How do I determine the most severe

issues my customers are complaining

about in real-time?

Which are the categories and topics that my

target customer likes the most?

Which age group, gender, profession should I target in

my next campaign

Is there a way for me to compare my native data with social data in a single integrated

view?

THE TWO PILLARS OF FRROLE INTELLIGENCE

People Intelligence

Topic Intelligence

In-depth analysis of influencers and user groups including their

personality, demographics, interests and real-time needs

Deep real-time insights about any topic (brands, products,

#tags etc.) up to hyperlocal level

WHY FRROLE?

Topic Intelligence

LOCATIONAL PRECISION

The kind of problems Frrole solves

Since its launch, % of people speaking +ively about a product in all localities in Mumbai vs the same figure for its competitors

Top 3 locations in Bangalore where service related issues about an ecommerce company are maximum

Neighborhood Level

City Level Industry Standard

SENTIMENT ACCURACY

65-70%

78%

Industry Standard

The kind of problems Frrole solves

Identifying top influencers talking about your brand in each city based on the number of positive social media posts & positivity of posts

Identifying social posts that are complaints or negative feedback about your brand based on their sentiment

78%  

CONTEXTUAL ANALYSIS

Keywords, #tags based analysis

Contextually determined meaning

& categories

Industry Standard

The kind of problems Frrole solves

Identifying how ecommerce as a category is changing over time, share of voice movement of top companies & emerging trends

Analyzing breakfast as a segment, top breakfast choices, preferred time to eat, top reasons to have breakfast

78%  

AND ANALYSIS ACROSS ALL THESE PARAMETERS..

Time series data (upto seconds)

Custom Defined Categories

Keyword Associations (Adjectives, Topics, Verbs)

Category Associations (Sports, Entertainment, Business etc)

Media vs Non-media data

Key Influencers

Individual or Aggregated Twitter, Facebook & Instagram insights

Content Type (Video, Images, Text)

Verified vs Non-verified Users Entity Type

WHY FRROLE?

People Intelligence

PERSONALITY ANALYSIS

NA

Big 5 personality analysis

The kind of problems Frrole solves

Identifying that in the last 6 months, % of outgoing males who speak about coffee has gone down from 34% to 21%

Identifying that 79% of your consumers are very sensitive, especially in Kolkata & Bangalore

Industry Standard

ADVANCED DEMOGRAPHICS

Gender, City level

Profession, Parental Status, Marital Status,

Hyperlocal

Industry Standard

The kind of problems Frrole solves

Identifying the top cities and areas within those cities where your consumers belong to, and what % of them are employed

Identifying that 33% of your consumers are parents, and 79% of them are from top 4 metro cities

INTEREST GRAPH

The kind of problems Frrole solves

Identifying that since last 3 months, your followers have shifted from talking about sports the most (35%) to politics now (39%).

Identifying that in entertainment space, your consumers speak about Mohit Chauhan, Adele and Ranveer Singh the most

Keywords associations

Contextually determined category & topic affinity

Industry Standard

AND ANALYSIS ACROSS ALL THESE PARAMETERS..

Social Authority

Top Interactions

Devices Owned

Top Category & Topic Preferences

Follwers vs Following

Enagages With

Top Social Networks Used

Top Keywords Used Across Categories

HOW CAN WE HELP YOU?

SCOUT

A full-fledged web based social analytics

dashboard that displays in-depth analysis of topics, influencers and

consumers to users

COMMAND CENTER

A custom built large display of real-time social insights to help your analysts discover trends about your brand, your industry and your competition

CUSTOM SOLUTIONS Custom-built dashboards that combine real-time social signals with your

native enterprise data and generate deep actionable insights

DATA APIs Easy and quick way to integrate real-time social insights into any digital

property (CRM, Existing dashboards) supporting 25+ filters

OUR RECENT WORK

GROUPM

Uses social data to understand how segments are evolving with time – understand changes in demographics, interests, affinities over time.

•  Combines exclusive Frrole audience insights to answer key business questions

•  Makes social data useful beyond CMO’s office

•  Custom defined views, can be reused across multiple clients

HIREE Provides an enriched view of applicant profile to recruiters by identifying personality & interests of each applicant based on her public social footprint

•  Analyzes applicant’s social activity and draws useful insights about her interests, personality & authority

•  Improves recruiter-applicant matching algorithms

•  Connects a user’s email ID to her social account, if existing

GREY DIGITAL

Dashboard tool that combines enterprise data with social insights and establishes correlation and causation between various factors affecting marketing ROI

•  Combines enterprise data (Paid media, analytics, sales data etc) with social data, and displays what affects ‘brand love’ and conversion

•  Optimizes marketing planning for the CMO

•  Easily replicable and can be used by multiple brands/clients with minimal set-up

TWITTER An application that tracks conversations that are likely to mention violence and sexual harassment against women. Learns algorithmically how to identify offensive tweets.

Nikhil Tiwari [email protected]

THANK YOU